A new open-source model called Stereo2Spatial has been developed to convert stereo music into spatialized binaural mixes. The model utilizes a flow-matching diffusion approach, initially exploring latent space before pivoting to raw waveform modeling for improved quality. Training stability was achieved by implementing amplitude lifting techniques, inspired by the WavFlow paper, and the model was trained on over 7,000 tracks using dual A6000 GPUs. The project includes released code and a Windows desktop application for inference, all under an Apache 2.0 license. AI
IMPACT Enables creation of spatial audio from existing stereo music libraries, potentially enhancing immersive listening experiences.
RANK_REASON The cluster describes the release of a new open-source model and associated code for audio processing. [lever_c_demoted from research: ic=1 ai=1.0]
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